Iris Pricing

Iris categorizes your Meta ads into dozens of groupings, based on the visual and messaging elements of the ad. It then provides a dashboard for you to view performance by each category, facilitating a better understanding of what attributes make an ad successful. This is the type of analysis media buyers and creative strategists perform to understand ad performance, performed at much greater scale and efficiency.

Many ad buyers use naming structures to keep track of different ad attributes and report on them. Using Iris, you can skip the naming conventions, which tend to be time-consuming and error-prone. Iris automatically identifies the most important attributes of your ads and provides insights based on those attributes

Iris reviews all of your ads, and uses a proprietary algorithm to determine which attributes are important to analyze. Then it categorizes each ad one by one, and aggregates the data for you.

We’ve developed a proprietary Performance Potential Score that evaluates the true performance of each ad, considering the tendencies of the Meta algorithm and the ad account’s structure.

Iris is especially useful for briefing new ads: simply look at the attributes that work the best and use that to inform new ads.

No, and tools that claim to do this don’t either – an AI-generated prediction of performance is no substitute for actual performance data.

Yes, you can export the full dataset (every ad categorized by dozens of dimensions, plus daily performance) as a CSV and manipulate it however you’d like.